SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

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Showing 1111–1120 of 1149 papers

TitleStatusHype
Unsupervised Video Understanding by Reconciliation of Posture Similarities—0
Multi-kernel learning of deep convolutional features for action recognition—0
Temporal Modeling Approaches for Large-scale Youtube-8M Video UnderstandingCode0
Cultivating DNN Diversity for Large Scale Video Labelling—0
Hierarchical Deep Recurrent Architecture for Video UnderstandingCode0
Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video ClassificationCode0
Aggregating Frame-level Features for Large-Scale Video Classification—0
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals—0
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos—0
Generating the Future With Adversarial Transformers—0
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